@inproceedings{d2b8ed8ffe534fa098fd7d29b5c7c551,
title = "Implementation and Verification of a Virtual Testing System Based on ROS and Unity for Computer Vision Algorithms",
abstract = "With the development of artificial intelligence technology, Computer vision algorithm is playing an increasingly important role. Computer vision algorithm testing is a vital link to ensure the safe and reliable operation of agents. However, the traditional testing methods based on real scenes provide single samples and are challenging to obtain ground truth, which makes it inefficient to test computer vision algorithms. To solve this problem, the testing method of computer vision algorithms using virtual scenes instead of real scenes has been applied. In this paper, Unity and robot operating system (ROS) are selected to build a virtual testing system named URCV for computer vision algorithms. The feasibility of the system and the influence of virtual scene elements on the testing of the monocular ORB-SLAM2 algorithm are verified, including the rendering path of Unity's RGB camera, texture accuracy, and illumination model.",
keywords = "ROS, URCV, Unity, computer vision algorithms, virtual testing",
author = "Qian Zhang and Yongjia Zhao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019 ; Conference date: 19-10-2019 Through 21-10-2019",
year = "2019",
month = oct,
doi = "10.1109/CISP-BMEI48845.2019.8965907",
language = "英语",
series = "Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qingli Li and Lipo Wang",
booktitle = "Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019",
address = "美国",
}